Systems and methods for routing a facsimile confirmation based on content

ABSTRACT

A method for routing a confirmation of receipt of a facsimile or portion thereof according to one embodiment of the present invention includes analyzing text of a facsimile for at least one of a meaning and a context of the text; and routing one or more confirmations to one or more destinations based on the analysis. A method for routing one or more confirmations according to another embodiment of the present invention includes analyzing a pattern of light and dark areas of a facsimile; correlating the pattern to one or more forms; and routing one or more confirmations to one or more destinations based on the correlation. Additional systems and methods are also presented.

RELATED APPLICATIONS

This application is related to U.S. Patent Pub. No. US-2008-0273220-A1,filed May 1, 2007 and having title “SYSTEMS AND METHODS FOR ROUTINGFACSIMILES BASED ON CONTENT”, and which is herein incorporated byreference.

FIELD OF THE INVENTION

The present invention relates to facsimile systems and methods, and moreparticularly, this invention relates to systems and methods for routingfacsimiles.

BACKGROUND OF THE INVENTION

In the present day, computer systems that were once considered “standalone” are evolving toward common inter/connectivity. At one time, thevarious computers in an office were all operated individually. Today,the normal business utilizes a network, e.g., a local area networkand/or a wide area network, to inter-connect the computers within theenterprise to facilitate work flow among the people who work in theenterprise. Once computerized systems in an office are networkedtogether, it may then become necessary and appropriate to develop toolsand methodologies for sharing common resources and for exchanging workfiles and data, even between modes of communication that were onceconsidered quite distinct.

An example of the once distinct technology now being connected to themodern network and computerized work environment is the technology offacsimile document transmission. Originally, facsimile machines wereindividual devices which were capable of transmitting what is, ineffect, a bit mapped version of a document through defined protocolsover a telephone connection to a remote dedicated facsimile device whichwas capable of reproducing the bit map pattern on paper at the remotestation. While stand-alone facsimile devices certainly still exist, ithas become common to incorporate a facsimile transmission and receptionfunction into computers and computer networks having other diverse andintegrated functions.

Upon receiving a facsimile transmission (fax), a confirmation of receiptmay be sent back to the sender of the fax. However, this confirmationhas heretofore only been sent to the location from where the fax wassent. This is usually either the contact information of the sender of afax, e.g. the “sender's number” transmitted concurrently with the fax,or the email address of the sender of an email (and possibly thoseCC'd). However, many times this location is not the desired destinationfor the confirmation of the fax receipt. Furthermore, due to the natureof the fax content it may be desirable to send a fax receiptconfirmation to additional locations not explicitly mentioned in anypart of the fax transmission.

Therefore, there is a current need for the ability to route a faxconfirmation to one or more destinations based on some aspect of thecontent of the incoming fax message itself.

SUMMARY OF THE INVENTION

A method for routing a confirmation of receipt of a facsimile or portionthereof according to one embodiment of the present invention includesanalyzing text of a facsimile for at least one of a meaning and acontext of the text; and routing one or more confirmations to one ormore destinations based on the analysis.

In one embodiment, the analysis includes determining one or morekeywords in the text. In one approach, more than one keyword isdetermined by the analysis and said keywords are not adjacent in thefacsimile text. In another approach, the one or more keywords compriseone or more Setters or symbols.

In another embodiment, the facsimile text does not contain confirmationdestination information. For instance, the confirmation destinationinformation not contained in the facsimile text includes one or more ofnames of intended facsimile recipients and destination data.

The analysis may include comparing one or more keywords in the text toother elements in the text. For example, the elements may include words,symbols, keywords, and graphic elements.

The analysis may include matching one or more keywords in the text todata stored in memory. The analysis may include determining the positionof one or more keywords in the text. The analysis may includeclassifying the text as a specific document type. The analysis mayinclude classifying at least one of the keywords in the text as aspecific word type.

In one approach, the text is produced by converting the facsimile to acomputer-readable format. In another approach, the text is produced byconverting a source to text in a human language other than a language ofthe source.

The confirmation may include: an email message, an audible message, afax, a text message, a multimedia message, etc.

The confirmation may include a request for additional information.

A method for routing one or more confirmations according to anotherembodiment of the present invention includes analyzing a pattern oflight and dark areas of a facsimile; correlating the pattern to one ormore forms; and routing one or more confirmations to one or moredestinations based on the correlation.

In an embodiment, the analyzing determines one or more document featuresof the pattern. In one approach, the correlating includes comparing atleast one of the document features to features of the one or more forms.In another approach, the correlating includes determining the positionof one or more of the document features within the pattern. In a furtherapproach, the correlating includes comparing at least one of thedocument features to other features of the pattern.

The confirmation may include: an email message, an audible message, afax, a text message, a multimedia message, etc. The confirmation mayalso or alternatively include a request for additional information.

A method for routing a confirmation according to yet another embodimentof the present invention includes converting a facsimile to acomputer-readable document; identifying one or more keywords in thedocument; analyzing the document by determining at least one of a:relation of one or more words in the document to the one or morekeywords, relation of one or more symbols in the document to the one ormore keywords, relation of one or more keywords in the document to theone or more other keywords, relation of graphic elements to the one ormore keywords, position of the one or more keywords in the document, aclassification of the text of the document as a specific document type,a classification of one or more keywords in the document as a specificword type, and text of the one or more keywords; determining aconfirmation destination based on the analysis; and routing theconfirmation to the facsimile destination based on the determination.

A method for routing a confirmation according to a further embodiment ofthe present invention includes obtaining a pattern of light and darkareas of a facsimile; determining one or more document features from thepattern, determining a confirmation destination based on at least one ofthe following: comparing the one or more document features to featuresof one or more forms, said forms relating to one or more of a certaindocument type; determining the position of one or more of the documentfeatures within the pattern; and comparing at least one of the documentfeatures to other features of the pattern; and routing the facsimile tothe confirmation destination based on the determination of thedestination.

In one approach, multiple facsimile destinations are determined; whereinthe facsimile is routed to the multiple destinations. In anotherapproach, the computer-readable document is also routed to the facsimiledestination based on the determination.

A method for routing a confirmation of receipt of a facsimile or portionthereof according to yet another embodiment of the present inventionincludes analyzing a facsimile for at least one of a meaning and acontext of the facsimile; attempting to initiate a business processbased on the analysis; and routing one or more confirmations relating tothe business process to one or more destinations based on the analysis.

In one approach, one of the confirmations is sent upon completion of thebusiness process. In another approach, one of the confirmations is sentupon encountering a problem with the business process.

Systems are also presented.

Other aspects and advantages of the present invention will becomeapparent from the following detailed description, which, when taken inconjunction with the drawings, illustrate by way of example theprinciples of the invention.

BRIEF DESCRIPTION OF THE DRAWINGS

For a fuller understanding of the nature and advantages of the presentinvention, as well as the preferred mode of use, reference should bemade to the following detailed description read in conjunction with theaccompanying drawings.

FIG. 1 is a system diagram of a confirmation routing system inaccordance with one embodiment of the present invention.

FIG. 2 is a flow diagram of a process for routing a confirmation inaccordance with one embodiment of the present invention.

FIG. 3 illustrates, in a flowchart, a process performed by aconfirmation routing system in accordance with one embodiment of thepresent invention.

FIG. 4 is a flow diagram of a process for routing a confirmation inaccordance with one embodiment of the present invention.

FIG. 5 illustrates, in a flowchart, a process performed by aconfirmation routing system in accordance with another embodiment of thepresent invention.

FIG. 6 is a network diagram illustrating a network architecture in whichthe various embodiments described herein may be implemented.

FIG. 7 is a system diagram of a representative hardware environmentassociated with a user device.

BEST MODE FOR CARRYING OUT THE INVENTION

The following description, is the best mode presently contemplated forcarrying out the present invention. This description is made for thepurpose of illustrating the general principles of the present inventionand is not meant to limit the inventive concepts claimed herein.Further, particular features described herein can be used in combinationwith other described features in each of the various possiblecombinations and permutations.

Unless otherwise specifically defined herein, all terms are to be giventheir broadest possible interpretation including meanings implied fromthe specification as well as meanings understood by those skilled in theart and as defined in dictionaries, treatises, etc.

FIG. 1 illustrates a system used to automate confirmation routing via acomputerized system upon receipt of a facsimile (“fax”), according toone embodiment. In general, the system determines where to route aconfirmation based on one or more features of the received fax and/orits content. A confirmation may be sent to the sender of the originalfax. A confirmation may be sent to a person, department or entity otherthan the sender.

The following modules and/or functions may operate or be performed inconjunction with, exclusive of, or as a supplement to, other routingmechanisms known in the art, such as routing based on a DID number. Itshould be kept in mind that in practice, an actual system implementedmay have more, less or different components that those shown, theembodiment of FIG. 1 being presented by way of example of only onepossible configuration.

As shown in FIG. 1, the system includes an incoming communication device10. Incoming communication device 10 may be coupled to any type ofcommunications network 8, such as a Wide Area Network (WAN, e.g. theInternet), Local Area Network (LAN), Public Switched Telephone Network(PSTN), etc., and combinations thereof. In general, anytelecommunication or communication protocol may be used as input to theincoming communication device 10. The incoming communication device 10may be any communication device which can interface with and receivedata. Examples include, but are not limited to, moderns, networkinterface cards (NICs), etc. The incoming communication device 10 canoperate at any speed.

The incoming communication device 10 may be coupled to, or be integralwith, a receive module 12. Receive module 12 may be any device whichmanipulates, stores, routes, and/or transmits data in any manner. In oneform, receive module 12 can be any computer which comprises one or moreof a display screen, a keyboard, a mouse, a processor (e.g., CPU), and amemory unit. In other forms, the receive module 12 may be amicrocontroller, a Digital Signal Processor (DSP), a microcontrollingunit, a plurality of microprocessors, a mainframe, a supercomputer, etc.In yet other forms, the receive module 12 is a software module runningon a host.

The receive module may have access to memory, the memory being externalto it, internal to it, or both. Memory may be comprised of one or moreof disk storage, tape storage, magnetic media, non-volatile memory,EPROM memory, EEPROM memory, FLASH memory, DRAM memory, SRAM memory,ROM, CD memory, computer memory, and/or any like memory system ordevice.

A fax receipt module 14 operates within or in conjunction with receivemodule 12. Module 14 is generally used to receive data from the incomingcommunication device 10 and store it as a received fax file 16, e.g., innonvolatile memory, volatile memory, or both. The received fax file 16includes information which is received through the incomingcommunication device 10 and processed by module 14. The information infax file 16 may be one or more fax transmissions or fax documentsreceived through incoming communication device 10. In one embodiment,the fax receipt module 14 allows the receive module 12 to simulate or“look like” a fax machine to another fax machine coupled to the incomingcommunication device 10 via the communications network 8. In oneembodiment, the fax module 14 is designed to receive fax transmissions.Other transmission forms and protocols may also be supported andrecognized by fax receipt module 14 or other modules operating inconjunction therewith, including but not limited to email-basedfacsimile transmissions, Internet-based facsimile transmissions e.g.,from online facsimile services, etc. Fax module 14 may also recognizevarious fax and coding schemes, such as Huffman encoding, and can beused to communicate at various telecommunication speeds. Also, the faxreceipt module 14 may be coded to dynamically and automatically matchthe transmission speed of the data coming in through the incomingcommunication device 10. The fax receipt module 14 may have the purposeof receiving one or more fax transmissions through the incomingcommunication device 10 and processing that fax transmission into a dataformat stored in the received fax file 16, which can be subsequentlyprocessed.

In some cases, faxed transmissions will be received in a short period oftime and multiple received fax files 16 will be created. Control codewithin the receive module 12 may be used to monitor the fax receiptmodule 14 to ensure data is not lost and that proper management ofmultiple files is carried out by the receive module 12. The received faxfiles 16 may optionally be prioritized by time, by a fax transmittingurgency, or other priority criterion.

Once one or more received fax files 16 have been formed via module 14,in one embodiment of the present invention, the fax file 16 may beconverted by text conversion module 18 into a computer-readable textdocument. Optical character recognition (OCR) via a process known in theart is one of many techniques that may be used to process the receivedfax file 16. If more than one fax file 16 exists within the receivemodule 12 at one point in time, receive module 12 may determine via thepriority scheme discussed above, which received fax file 16 is processedin which order by the text conversion module 18. The primary purpose ofthe text conversion module 18 is to analyze one or more received faxfiles 16 and translate those received fax flies 16 from a non-textformat to a text format. The text format, which is stored at leastmomentarily in text file 20, may be represented in one of many mannerssuch as ASCII, binary, BCD, etc. In one form, the text conversion module18 converts only a portion of the received fax file 16 to text, and inanother form the text conversion module 18 will convert the entirereceived fax file 16 to text file 20. In either case, the textconversion module 18 converts the received fax file 16 to a text file 20for at least one primary purpose. One primary purpose may be todetermine from the faxed data any information which is needed toelectronically log or track the fax transmission and determine where toproperly route the confirmation (e.g., a fax confirmation replydestination).

Once the text conversion module 18 has generated the text file 20, thetext of the file is analyzed by a text analysis module 22 for at leastone of a meaning and a context of the text. The text of the text file 20need not contain any confirmation reply information, such as physicaladdresses, email addresses, fax number, or names of desired recipients,though, if present, such information can be identified and used todetermine at least one destination of the confirmation. The analysisperformed by the text analysis module 22 can include one or more of thefollowing determinations, in various aspects and permutations of thepresent invention.

In one approach, one or more keywords are identified in the fax text.These keywords can be comprised of one or more letters or symbols andcan be found anywhere in the text of the fax file 16. More than onekeyword can be identified in the fax text, and the identified keywordsneed not be adjacent or in any way related to each other in the faxtext. Keywords can be determined based on a wide variety of criteriathat best suits the needs of the user. The fax text may be compared todata stored in local or remote memory as part of the keywordidentification. For example, a database containing predetermined wordsof importance may be compared to the fax text, and any matches betweenthe fax text and the predetermined words or their literary derivations(e.g., plural form, tense, etc.) may be identified as keywords.

Once one or more keywords have been determined, an analysis can beperformed to determine the meaning and/or context of the document orportion thereof. Any electronics-based method of textual or grammaticalparsing or comprehension can be used, including those disclosed hereinand others known in the art.

In one approach, the analysis can be based at least in part on therelation of other words in the fax text to the text of the keywords. Forexample, if one of the identified keywords is “resume,” other words canbe analyzed in the fax text in order to determine whether the text is infact a summary of personal qualifications, in which case it would bedesirable to send a confirmation of receipt of the document to thesender and/or a hiring department, or is used in its verb form, in whichcase another person or department might be a more relevant confirmationdestination.

Additionally, a determination can be made as to the relation of the oneor more keywords to other symbols in the fax text. For example, if oneof the identified keywords is “total,” “account,” “amount,” or the like,numeric manipulation symbols in the text, such as the “+,” “−,” and “=”symbols, can be analyzed in relation to the keyword in order todetermine whether the text is related to a relevant department, e.g.accounting, purchasing, or sales, and a confirmation should be sent tosuch a department as a result.

Furthermore, the relation of one or more keywords to one or more otherkeywords can be determined. For example, if one of the identifiedkeywords is “amount,” and another identified keyword is “due,” it ismore likely than not that the fax text in question deals with a billingsheet and a confirmation should be sent to the billing department, whichis the likely source of the fax. In another example, if one of theidentified keywords is “sexual” and another keyword is “harassment,” therelation of these two keywords can help determine whether the fax textis a complaint and a confirmation should be sent to human resources oris a spam fax and should be sent to another department.

Also, the relation of one or more graphic elements to one or more otherkeywords can be determined. For example, if the fax text containsgraphic elements in the form of photographs or diagrams, keywords suchas “evidence” or “presentation” could be analyzed with respect to thegraphic elements in order to determine whether to send the confirmationto the litigation department or the sales department, for example.

The position of one or more of the identified keywords in the documentcan also be determined. This determination can be used to ascertain therelevance of the identified keyword(s) to the document as a whole. Forexample, if the word “resume” is found at the top center of a document,it is more likely to be a summary of personal qualifications than if theword is found within the text of a body paragraph in the middle of thefax text.

Additionally, the text of one or more keywords can be determined andanalyzed. This text can be self-explanatory, such as an email address,or it can be significant in a way determined by the user. The text ofone or more of the determined keywords can also be compared to datastored in memory as part of the analysis. For example, if a keywordcontains a format such as “_@_._,” the keyword may be determined to bean email address and may then be analyzed as such. Additionally,keywords that suggest intended confirmation recipients, such as“marketing” or “sales,” may be determined and used to assist in routinga confirmation to an intended location. Furthermore, a user maydetermine that all faxes containing the keyword “Product A” require thata confirmation be routed to the Product A development team as well asthe marketing department, and may add such a rule to the system.

During the analysis of the fax text, the fax text itself can beclassified as a specific document type. An analysis of one or moreelements of the fax text may lead to the fax text being classified as aninvoice, resume, etc. For instance, fax text that contains keywords suchas “experience” as well as dates, addresses, and contact information maybe classified as a “resume” document type and a confirmation should berouted to the hiring department of a company as a result.

In one approach, during the analysis of the fax text, one or morekeywords can be classified as a specific word type. Keywords that areindicative of certain types of documents can be classified according tothe various possible types of document. For example, a fax text thatcontains the word “invoice” may be expected to come from a bookkeepingdepartment of an organization, and so a confirmation may be sent to thebookkeeping department of a company identifiable in the facsimile text,e.g., by name, email address, etc. in a variation, several keywords canbe classified, and the facsimile is then classified based on theclassifications of the keywords.

Many techniques may be used to analyze and classify a fax and/or itstext. Possible analysis and classification techniques include, but arenot limited to, the use of a naïve Bayes classifier, tf-idf weighting,latent semantic analysis, support vector machines, an artificial neuralnetwork, a k-nearest neighbor algorithm, decision trees, and conceptmining, etc.

A naive Bayes classifier (also known as Idiot's Bayes) is a simpleprobabilistic classifier based on applying Bayes' theorem with strong(naive) independence assumptions.

Tf-idf (term frequency-inverse document frequency) weighing is used toevaluate how important a word is to a document in a collection orcorpus. The importance increases proportionally to the number of times aword appears in the document but is offset by the frequency of the wordin the corpus.

Latent semantic analysis (LSA) uses a term-document occurrence matrixwhich describes the occurrences of terms in documents. The term-documentmatrix is a sparse matrix whose rows correspond to documents and whosecolumns correspond to terms, typically stemmed words that appear in thedocuments. An example of the weighting of elements of the matrix istf-idf (term frequency-inverse document frequency): the element of thematrix is proportional to the number of times the terms appear in eachdocument, where rare terms are upweighted to reflect their relativeimportance. The original occurrence matrix gives the relationshipbetween terms and documents. Latent semantic, analysis transforms thisinto a relationship between the terms and concepts, and a relationbetween the documents and the same concepts. The terms and documents arenow indirectly related through the concepts. LSA is disclosed in greaterdetail in U.S. Pat. No. 4,839,853, which is herein incorporated byreference.

In particularly preferred approaches, known support vector machineprocesses are used. Support vector machines (SVMs) are a set of relatedsupervised learning methods used for classification and regression. Theybelong to a family of generalized linear classifiers. They can also beconsidered a special case of Tikhonov regularization. A special propertyof SVMs is that they simultaneously minimize the empiricalclassification error and maximize the geometric margin. Hence they arealso known as the maximum margin classifier.

An artificial neural network (ANN) or commonly just neural network (NN)is an interconnected group of artificial neurons that uses amathematical model or computational model for information processingbased on a connectionist approach to computation. In most cases an ANNis an adaptive system that changes its structure based on external orinternal information that flows through the network. In more practicalterms neural networks are non-linear statistical data modeling tools.They can be used to model complex relationships between inputs andoutputs or to find patterns in data.

The k-nearest neighbor algorithm (k-NN) is a method for classifyingobjects based on closest training examples in the feature space. Thetraining examples are mapped into multidimensional feature space. Thespace is partitioned into regions by class labels of the trainingsamples. A point in the space is assigned to the class c if it is themost frequent class label among the k nearest training samples. UsuallyEuclidean distance is used. The training phase of the algorithm consistsonly of storing the feature vectors and class labels of the trainingsamples, In the actual classification phase, the same features as beforeare computed for the test sample (whose class is not known). Distancesfrom the new vector to all stored vectors are computed and k closestsamples are selected. The new point is predicted to belong to the mostnumerous class within the set. The best choice of k depends upon thedata; generally, larger values of k reduce the effect of noise on theclassification, but make boundaries between classes less distinct. Agood k can be selected by parameter optimization using, for example,cross-validation. The special case where the class is predicted to bethe class of the closest training sample (i.e. when k=1) is called thenearest neighbor algorithm.

A decision tree is a decision support tool that generally refers to agraph or model of decisions and their possible consequences, includingchance event outcomes, resource costs, and utility. A decision tree is adecision support tool, used to identify the strategy most likely toreach a goal. Another use of trees is as a descriptive means forcalculating conditional probabilities.

Concept, mining describes the discipline of extracting information froma document, such as an auto generated precis, or a subjectclassification, using the concepts in a document.

It is important to note that the facsimile need not necessarily beconverted into a computer-readable text document in order for thefacsimile to be routed correctly. In another embodiment of the presentinvention, a method of non-OCR document identification may be used byfax analysis module 24 to correlate a facsimile pattern to a form, withthe routing of the confirmation being based on such a correlation.

For example, a method of analyzing a pattern of light and dark areas ofa fax may be used in order to correlate the fax pattern to a form. Aftera pattern of light and dark areas of a fax are obtained, one or moredocument features are then determined from the pattern. One or more ofthese document features may then be analyzed in order to determine aconfirmation destination using one or more of the following techniques.

In one approach, one or more of the document features may be compared toone or more features of a form. The form used in the comparison relatesto one or more known document types. In another approach, the positionof one or more of the document features within the fax pattern may bedetermined. In yet another approach, one or more of the documentfeatures may be compared to other features of the pattern. Combinationsof these may also be used.

U.S. Pat. No. 5,159,667, incorporated herein by reference, describessystems and methods for document identification by characteristicsmatching, which may also be used in one or more of the variousembodiments. The systems and methods described therein use the techniqueof recognition of global document features compared to a knowledge baseof known document types. The system first segments the digitized imageof a document into physical and logical areas of significance andattempts to label these areas by determining the type of informationthey contain, without using OCR techniques. The system then attempts tomatch the areas segmented to objects described in the knowledge base.The system labels the areas successfully matched then selects the mostprobable document type based on the areas found within the document.Using computer learning methods, the system is capable of improving itsknowledge of the documents it is supposed to recognize, by dynamicallymodifying the characteristics of its knowledge base thus sharpening itsdecision making capability.

Once the destination is determined, the confirmation is routed to thedestination. As in all embodiments, the confirmation may be routed tomultiple destinations.

One example of the above method can be found in the use ofcharacteristics matching of a fax document. The technique ofcharacteristics matching involves the recognition of global documentfeatures compared to a knowledge base of known document types. Thesystem first segments the digitized image of a document into physicaland logical areas of significance and attempts to label these areas bydetermining the type of information they contain, without using OCRtechniques.

The system then may attempt to match the areas segmented to objectsdescribed in a knowledge base, for example object data stored andclassified in a database. The document knowledge base containsstructured information relating to various classes of documents and theobjects they each contain. This knowledge base provides the system withthe expected structure and content of the documents which may beidentified by the system.

For each segmented area on the document an object label may be assignedto the area by matching its structural characteristic, i.e., thephysical location of the area on the document, and its relationalcharacteristic, i.e., its location with respect all the other areas onthe document, against the expected physical and relationalcharacteristics provided by the knowledge base. As a result of thismatching process, a table of evidence and disevidence is built for eacharea as containing a particular object. Based on the evidence anddisevidence table, proposed object labels are assigned to the segmentareas and a proposed classification designation is assigned to thedocument.

The module then begins a verification pass through the document. Usingthe proposed object labels and document classification, the structuraland relational characteristics of the areas are again compared. If theresults of the second-pass is the same as the first-pass, the objectlabels and document classification are considered verified. If theresults are different, new labels are proposed and the verification stepis repeated. After successful verification, the system then beginsanother pass to attempt to match further document characteristics inorder to identify a possible sub-class of the document within theselected document class. Once the document class and possibly itssub-class as well as the objects it contains are adequately classified,this information is stored for later retrieval. The system labels theareas successfully matched then selects the most probable document typebased on the areas found within the document. Using computer learningmethods, the system is capable of improving its knowledge of thedocuments it is supposed to recognize, by dynamically modifying thecharacteristics of its knowledge base thus sharpening its decisionmaking capability.

It should be noted that the above analysis examples may be used inconjunction with the use of systems utilizing at least one or more ofname, e-mail, and contact information recognition, e.g. other faxrouting, data extraction, or document classification systems. Use of theabove examples can assist in substantiating the determination of acorrect confirmation destination using these types of recognition andcan increase the probability of correct delivery to an intended orappropriate recipient of the confirmation.

It should also be noted that a single module may perform the functionsof both the text analysis module 22 and the fax analysis module 24, andwould therefore be able to receive and analyze both fax files 16 andtext files 20. Additionally, both the text analysis module 22 and thefax analysis module 24 may perform analysis on the same fax file 16through parallel processes. The results of both of these analyses can becompared and used to substantiate the confirmation destinationinformation 26 obtained by both modules and increase the probability ofcorrect delivery.

Based on the analysis of the received fax file 16, a text file 20, faxpattern, etc., confirmation destination information 26 is determined.Destination information 26 may consist of one or more destinations forthe confirmation.

Once one the confirmation destination information 26 is determined bythe above or any other methods, a confirmation is generated or retrievedfrom memory/storage, and the confirmation is routed to the properconfirmation destination. Generation/retrieval of the confirmation maybe performed by any mechanism. The routing may be done via an outgoingcommunication device 28.

As noted above, a confirmation may be sent to the sender of the originalfax, and/or a person, department or entity other than the sender. Theconfirmations sent to each party may be identical or different.

A confirmation may be generated each time a fax is received, usingmethods known in the art. A confirmation may also be retrieved from adatabase or memory upon receiving a fax. Further, a confirmationtemplate can be retrieved from memory or a database and populated withinformation about the fax or conditions associated with its receipt.

A confirmation may take many forms, e.g. email, audible messages (e.g.,synthesized voice), faxes, text messages such as short message service(SMS) messages, multimedia messages such as multimedia messaging service(MMS) messages, etc.

The content of the confirmation may include items found in standardconfirmations, such as a time/date stamp, whether the fax was receivedsuccessfully or that an error occurred, a number of pages received, etc.Additionally, the confirmation may include a copy of the fax or portionthereof, e.g., first page; intended recipient, list of recipients of theconfirmation; data extracted from the fax; etc.

It should also be noted that the actual content of the confirmation isintended to extend beyond mere confirmation of some event such assuccessful or unsuccessful receipt of a fax. Particularly, any type ofinformation relating to successful, unsuccessful, or delayed receiptand/or delivery of the fax can be included in the confirmation. Forexample, the confirmation may indicate that an exception has occurred,as where the incoming fax did not contain sufficient information to berouted to its intended destination, the routing information containedtherein is wrong, etc.

The confirmation may also ask the sender for additional information,such as complementary information, security information, clarification,etc. In the various approaches, the additional information may berequested in real-time (e.g., by voice) or semi real-time (by email, byreply fax, etc). The additional information may be returned by thesender in any of the forms presented herein, and may optionally bejoined to the original fax message.

In another exemplary embodiment, the confirmation may indicate that anirregularity has been detected, and may request further action. Forexample, the document analyzer may detect that the document isunreadable or blank, upon which a request is sent to the senderindicating this, and possibly a request to resend the document.

Further, the confirmation may include an alert, such as informing thesender that the fax was sent beyond a predefined deadline.

Examples of an outgoing communication device include an electronic mallprogram, a fax machine, etc, The proper confirmation destination may beidentified by the outgoing communication device 28 via an address, auser name, a numerical value, a network identifier, or any likeidentification means which can be found or identified via one or more oftext analysis 22, fax analysis 24, and outgoing communication device 28.

Outgoing communication device 28 may be coupled to any communicationsnetwork 8, e.g. the Internet, PSTN, etc., and can communicate acrosstelecommunication lines, local area networks, token passing networks,computer interfaces, parallel computer interfaces, buses, or any likecomputer communication means to transmit the information received byincoming communication device 10 to the confirmation destinationsidentified by the text analysis 22, the fax analysis 24, or both.Accordingly, the confirmation may be sent in the form of a facsimile,email, audible message, etc. Additionally, if the text conversion module18 has been used to generate a text file 20, the text file 20 may alsobe routed to the selected confirmation destination.

Additionally, in one embodiment the incoming communication device 10 andthe outgoing communication device 28 may be the same device coupled tothe receive module 12 and would therefore be able to both receiveincoming fax information as well as transmit outgoing fax information.

In a preferred form, more than one destination is operatively coupled tothe outgoing communication device 28, e.g., via network, PSTN, etc. Itis important to note that any number N of destinations, computers,users, etc. can be coupled to the outgoing communication device 28 viathe office network wherein N is a finite positive integer. In addition,the end user may not always be a computer, but may be a specific folder,directory, or disk area on a computer, a default computer, a diskdrive/tape drive, a computer screen, a printer, a fax machine, a cellphone, etc.

In one example, the receive module 12 will interact with one or more ofincoming communication device 10, text conversion module 18, textanalysis module 22, fax analysis module 24, and outgoing communicationdevice 28 to coordinate the execution of these modules and to recordinformation regarding the processes performed by the system. Forexample, receive module 12 can prioritize, memory manage, and garagecollect received fax files 16 as they are processed by module 18, module22, and module 24. In addition, the receive module 12 can communicatewith the text analysis 22, the fax analysis 24, and the outgoingcommunication device 28 to store fax receipt times, processing errors,information regarding confirmation destination identification, and timeof transmission along the office network.

Since the receive module 12 may function as a coordinator for the entiresystem illustrated in FIG. 1, the receive module may contain valuableinformation as to the receipt and transmission of faxed documents. Thisinformation can be stored in a log file for subsequent reference andfuture use. The log file is generated by the receive module 12 and mayhave optional or required (depending upon a system set-up) entries foreach fax received by the incoming communication device 10 and processedby the computer 12. It is important to note that some fax receipts maybe intended for logging, while other fax receipts or transmissions maybe indicated as transmissions which should not be logged in anotherform. In some cases, the fax transmission will be logged so that thereceipt and routing of the fax can be determined at a later date.

The log file may contain, per fax, information such as the time and dateof receipt by the fax receipt module 14, the time of the generation offax file 16, any complications or information regarding the textconversion module 16, the time the text file 20 was generated, theconfirmation destinations determined, by the text analysis 22 or the faxanalysis 24, the time and destinations transmitted by the outgoingcommunication device 28, user information from, number of pages receivedper faxed transmission, the sender of the fax, phone numbers, addresses,and any other information which could be regarded as useful to afacsimile user or sender.

In some cases, either the text, conversion module 18 will not properlyconvert the received faxed file 16, or the text analysis 22 will not beable to determine a viable confirmation destination. In these cases, theoutgoing communication device may route one or more of the fax file, thetext file 20, and a confirmation to a default confirmation destination.In another form, the confirmation can simply be printed via a hardwareprinter and routed by hand via human personnel or stored to a defaultdisk space.

The destination of the facsimile may also be determined using minorvariations of the methodology presented above. Therefore, the fax andtext file can be sent to the proper destinations, at about the same timeas the confirmation.

The system illustrated in FIG. 1 may have several advantages in each ofthe various embodiments and permutations thereof. One potentialadvantage is that the system of FIG. 1 may be used as a scanner. Thescanner function of FIG. 1 is discussed as follows. If a fax machine iscoupled to the fax incoming communication device 10 of FIG. 1, then auser can fax a paper document to himself/herself. This faxed paperdocument is received by the incoming communication device 10 from thefax machine and processed by text conversion module 18 to a text file20. This file 20 is subsequently mailed to the location indicated by theconfirmation destination information obtained from the text file 20 bythe text analysis module 22. Therefore, if one were to fax himself adocument through the system in FIG. 1, that document would be sent tohis/her computer destination as a text file 20 or image file and notnecessarily on paper. Therefore, fax or paper documents can be convertedto text computer formats which can be edited and changed by a usercoupled to the system.

In addition, the man hours required to keep track of one or more faxmachines by secretaries and/or support staff is very time consuming. Byusing the system illustrated in FIG. 1, man hours required to log androute faxes, especially those not containing explicit confirmationdestination location information in the cover sheet or text of the faxitself, are significantly reduced compared to the prior art. Prior artfax machines operate by printing out a document received on acommunication line and leaving the document for a human user to pick upand distribute. This technique is not secure, due to the fact that anyuser can grab the printed copy off of the fax machine and mis-route,steal, or illegally access the material transmitted. The system of FIG.1 ensures a higher level of security since only those destined toreceive the confirmation are those with access to the fax, sincecomputer security measures typically exist to prevent others fromlogging into many intended confirmation destination locations. Inaddition, the intended confirmation destination locations may contain alarge amount to security software to avoid viruses and unauthorizedaccess. To enhance security, the system may not send a confirmation if a“receipt confirmation request” box is not checked, or if a “noconfirmation” box is checked on the facsimile.

When a fax is printed on paper in a prior art fax, the faxes need to berouted by human personnel and may be lost, routed late, or routedincorrectly. Once lost, routed incorrectly, or routed late, the fax canusually not be regained and resubmitted to its final destination. Thesystem of FIG. 1 prevents this loss by storing the received faxpermanently on disk or a like media and ensures that the fax will berouted to an end user in a timely, efficient, and secure manner. Inaddition, the system of FIG. 1 ensures extensive and proper logging ofthe receipt and communication of fax files without extensive humaninteraction. In many cases, faxes are transmitted to communicate routineinformation between offices and is not required to be on printed paperfor storage. Therefore, the system of FIG. 1 is environmentally sound inthat it saves paper when a fax need not be recorded on paper and onlyviewed by a user on a computer screen.

It is important to note that the outgoing communication device 28 canroute not only the confirmation but one or more of either the text file20 or the received fax file 16 depending upon conditions set within thereceive module 12. In some cases, a sender will want the end usercoupled to outgoing communication device 28 not to have textual accessto his file so that the file cannot be changed or edited in an easymanner. In another form, the sender may wish to have the end user changethe facsimile or edit the facsimile, in which case the text file 20 iscommunicated by the outgoing communication device 28. In many cases, thetext file 20 can be E-mail transmitted in a much faster time than anyreceived file. It is also important to note that the text conversionmodule 18 can use one or more of any known techniques to recognize notonly computer-generated cover sheets comprising senders and confirmationdestinations, but senders and confirmation destinations written by handon a cover sheet of a facsimile document. In addition, translationsoftware which translates a document from one language to another (e.g.Japanese to English or vice versa) may be incorporated into the textconversion module 18 or may be added as a new module. The textconversion module 18 can then recognize and translate facsimile senders,confirmation destinations, and text from foreign languages to English(and vice versa) so that a recipient and sender need not speak the samelanguage.

It is important to note that the fax receipt module 14, text conversionmodule 18, text analysis module 22, fax analysis module 24, and outgoingcommunication device 28 may be “pipelined” in order to achieve greaterthroughput of faxes through the system. For example, a first fax may bein the process of being received by the fax receipt module 14 or may bein the process of being written to a fax file 16, while a second fax isbeing converted via the text conversion module 18 to a text file 20,while a third fax is being analyzed via text analysis module 20, faxanalysis module 24, or both, while a fourth fax is being routed via theoutgoing communication device 28. This technique will also ensure thatone slow software portion within the system does not entirely slow theentire fax receiving process. For example, if the fax receipt module 14can receive faxes faster than the text conversion module can convertfaxes, then the fax receipt module 14 can stack or queue received faxfiles 16 and not slow receipt of faxes through the incomingcommunication device 10. In another form, if a “bottleneck” is foundwherein one of the modules 14, 18, 22, 24, or 28 is slowing the process,this slower program may be augmented by adding similar processingcapability in parallel to the slow program to improve throughput (i.e.parallel software processing).

Note that regardless of the speed of the system, the confirmation mightbe sent some time after the fax was received, such as in the situationwhere the destination number is continuously busy for a long period oftime, where the destination of the fax is determined based on a contextor content of a fax, etc.

Further, there may also be situations where transmission of theconfirmation may be delayed intentionally.

FIG. 2 illustrates a method 80 for routing a confirmation according toone embodiment, In operation 82, text of a facsimile is analyzed for atleast one of a meaning and a context of the text. In operation 84, oneor more confirmations are routed to one or more destinations based onthe analysis.

FIG. 3 illustrates the operation of a system according to one embodimentof the present invention. In step 100, the fax is received. In step 102the received fax is converted into a computer-readable document. In step104 one or more keywords are identified in the computer-readabledocument. In step 106 document analysis is performed. Document analysisincludes at least one of the following, determining the relation of oneor more words in the document to one or more keywords in the document in112, determining the relation of one or more symbols in the document tothe one or more keywords in 114, determining the relation of one or morekeywords in the document to the one or more other keywords in thedocument in 116, determining the relation of graphic elements in thedocument to the one or more keywords in the document in 118, determiningthe position of one or more keywords in the document in 120, anddetermining the significance of one or more of the keywords in 122.

Once document analysis 106 has been performed, one or more confirmationdestinations for the confirmation are calculated based on the analysis106. The confirmation is then routed to one or more confirmationdestinations in 110.

FIG. 4 depicts a method 200 for routing a confirmation according toanother embodiment, in operation 202, a pattern of light and dark, areasof a facsimile is analyzed. In operation 204, the pattern is correlatedto one or more forms, In operation 206, one or more confirmations arerouted to one or more destinations based on the correlation.

FIG. 5 illustrates a flow chart which describes the operation of asystem in one embodiment of the present Invention. In step 300, the fax,which contains a pattern of light and dark areas, is received. In step304 document features are determined for the received fax. In step 306one or more destinations of the confirmation is calculated. Calculatingone or more destinations of the confirmation may include one or more ofthe following: comparing the one or more document features to featuresof one or more forms, where the forms relate to one or more of a certaindocument type, in 312, determining the position of one or more of thedocument features within the pattern of light and dark areas in 314, andcomparing at least one of the document features to other features of thepattern of light and dark areas in 316. Once one or more confirmationdestinations have been determined in 306, the confirmation is routed toone or more confirmation destinations in 310.

In a further embodiment, a fax is received and used to start, or attemptto start, a business process. The meaning and/or context of the fax maybe determined as above, and used to select the appropriate process toinitiate. Such a process may be machine implemented, human implemented,or a combination of the two. When the business process is initiatedand/or completes, a confirmation is sent back to the original documentsender. For example, assume someone sends in an invoice. The fax isrecognized as an invoice, which triggers initiation of an AP (accountspayable) process. A notification may be sent to the sender indicatingthat the invoice is being processed. When the invoice has been processedand payment is made, a notification may be sent to the invoice sender.

In the event that there is a problem with the business process, anexception may be generated and the original document sender is notifiedof the problem. This might occur in the invoice example above, forexample, where products that are being invoiced haven't been deliveredyet, if the AP process cannot be initiated for some reason, etc.

While the present invention has been illustrated and described withreference to specific embodiments, further modification and improvementswill occur to those skilled in the art. For example, “code”, as usedherein, or “module,” as used herein, is any plurality of binary valuesor any executable, interpreted or compiled code which can be used by acomputer or execution device to perform a task. This code or module canbe written in any one of several known computer languages. A “module,”as used herein, can also mean any device which stores, processes,routes, manipulates, or performs like operation on data. An “incomingcommunication device” and “outgoing communication device” may be anycommunication devices which can be used for taking fax information andinputting the fax information into a module. A “text file” or “textualformat”, as used herein, may be any data format for efficiently storingalphanumerical data. In general, a text file or text format is any datastructure which identifies individual alphanumeric characters letters,or language characters from any faxed transmission. A “string”, as usedherein, is one or more alpha numeric or textual characters which areidentified as being part of a group (such as a human name). Theconfirmation destinations herein may be any type of computer or otherdestination which may not necessarily require display devices, userinput devices, or memory. For example, an end-user or destination maysimply be a disk drive, a paper-based facsimile machine, or a telephone.It is to be understood, therefore, that this invention is not limited tothe particular forms illustrated and that it is intended in the appendedclaims to cover all possible modifications of the teachings herein.

The present description is presented to enable any person skilled in theart to make and use the invention and is provided in the context ofparticular applications of the invention and their requirements Variousmodifications to the disclosed embodiments will be readily apparent tothose skilled in the art and the general principles defined herein maybe applied to other embodiments and applications without departing fromthe spirit and scope of the present invention. Thus, the presentinvention is not intended to be limited to the embodiments shown, but isto be accorded the widest scope consistent with the principles andfeatures disclosed herein.

In particular, various embodiments discussed herein are implementedusing the Internet as a means of communicating among a plurality ofcomputer systems. One skilled in the art will recognize that the presentinvention is not limited to the use of the Internet as a communicationmedium and that alternative methods of the invention may accommodate theuse of a private intranet, a LAN, a WAN, a PSTN or other means ofcommunication. In addition, various combinations of wired, wireless(e.g., radio frequency) and optical communication links may be utilized.

The program environment in which a present embodiment of the inventionis executed illustratively incorporates one or more general-purposecomputers or special-purpose devices such facsimile machines andhand-held computers. Details of such devices (e.g., processor, memory,data storage, input and output devices) are well known and are omittedfor the sake of clarity.

It should also be understood that the techniques presented herein mightbe implemented using a variety of technologies. For example, the methodsdescribed herein may be implemented in software running on a computersystem, or implemented in hardware utilizing either a combination ofmicroprocessors or other specially designed application specificintegrated circuits, programmable logic devices, or various combinationsthereof. In particular, methods described herein may be implemented by aseries of computer-executable instructions residing on a storage mediumsuch as a carrier wave, disk drive, or computer-readable medium.Exemplary forms of carrier waves may be electrical, electromagnetic oroptical signals conveying digital data streams along a local network ora publicly accessible network such as the Internet. In addition,although specific embodiments of the invention may employobject-oriented software programming concepts, the invention is not solimited and is easily adapted to employ other forms of directing theoperation of a computer.

Various embodiments can also be provided in the form of a computerprogram product comprising a computer readable medium having computercode thereon. A computer readable medium can include any medium capableof storing computer code thereon for use by a computer, includingoptical media such as read only and writeable CD and DVD, magneticmemory, semiconductor memory (e.g., FLASH memory and other portablememory cards, etc.), etc. Further, such software can be downloadable orotherwise transferable from one computing device to another via network,wireless link, nonvolatile memory device, etc.

FIG. 6 illustrates a network architecture 400, in accordance with oneembodiment. As shown, a plurality of remote networks 402 are providedincluding a first remote network 404 and a second remote network 406. Agateway 407 may be coupled between the remote, networks 402 and aproximate network 408. In the context of the present networkarchitecture 400, the networks 404, 406 may each take any formincluding, but not limited to a LAN, a WAN such as the Internet, PSTN,internal telephone network, etc.

In use, the gateway 407 serves as an entrance point from the remotenetworks 402 to the proximate network 408. As such, the gateway 407 mayfunction as a router, which is capable of directing a given packet ofdata that arrives at the gateway 407, and a switch, which furnishes theactual path in and out of the gateway 407 for a given packet.

Further included is at least one data server 414 coupled to theproximate network 408, and which is accessible from the remote networks402 via the gateway 407. It should be noted that the data server(s) 414may include any type of computing device/groupware. Coupled to each dataserver 414 is a plurality of user devices 416. Such user devices 416 mayinclude a desktop computer, lap-top computer, hand-held computer,printer or any other type of logic. It should be noted that a userdevice 417 may also be directly coupled to any of the networks, in oneembodiment. A facsimile machine 420 or series of facsimile machines 420may be coupled to one or more of the networks 404, 406, 408.

It should be noted that databases and/or additional components may beutilized with, or integrated into, any type of network element coupledto the networks 404, 406, 408. In the context of the presentdescription, a network element may refer to any component of a network.

FIG. 7 shows a representative hardware environment associated with auser device 416 of FIG. 6, in accordance with one embodiment. Suchfigure illustrates a typical hardware configuration of a workstationhaving a central processing unit 510, such as a microprocessor, and anumber of other units interconnected via a system bus 512.

The workstation shown in FIG. 7 includes a Random Access Memory (RAM)514, Read Only Memory (ROM) 516, an I/O adapter 518 for connectingperipheral devices such as disk storage units 520 to the bus 512, a userinterface adapter 522 for connecting a keyboard 524, a mouse 526, aspeaker 528, a microphone 532, and/or other user interface devices suchas a touch screen and a digital camera (not shown) to the bus 512,communication adapter 534 for connecting the workstation to acommunication network 535 (e.g., a data processing network) and adisplay adapter 536 for connecting the bus 512 to a display device 538.

The workstation may have resident thereon an operating system such asthe Microsoft Windows® Operating System (OS), a MAC OS, or UNIXoperating system. It will be appreciated that a preferred embodiment mayalso be implemented on platforms and operating systems other than thosementioned. A preferred embodiment may be written using JAVA, XML, C,and/or C++ language, or other programming languages, along with anobject oriented programming methodology. Object oriented programming(OOP), which has become increasingly used to develop complexapplications, may be used.

While various embodiments have been described above, it should beunderstood that they have been presented by way of example only, and notlimitation. Thus, the breadth and scope of a preferred embodiment shouldnot be limited by any of the above-described exemplary embodiments, butshould be defined only in accordance with the following claims and theirequivalents.

What is claimed is:
 1. A method for routing a confirmation of receipt ofa facsimile or portion thereof, comprising: analyzing, using aprocessor, text of a facsimile for at least one of a meaning and acontext of the text; and routing one or more confirmations to one ormore destinations based on the analysis, wherein routing the one or moreconfirmations comprises routing the one or more confirmations to one ormore destinations other than a sender of the facsimile for communicatinginformation to a human other than the sender of the facsimile, whereinthe analysis does not include utilizing any optical characterrecognition (OCR) techniques, and wherein the analysis comprises usingone or more techniques selected from the group consisting of: naïveBayes classification; tf-idf weighting; latent semantic analysis;support vector machine analysis; k-nearest neighbor algorithmicanalysis; and decision tree analysis.
 2. A method as recited in claim 1,wherein the analysis includes determining one or more keywords in thetext.
 3. A method as recited in claim 2, wherein more than one keywordis determined by the analysis and said keywords are not adjacent in thefacsimile text.
 4. A method as recited in claim 2, wherein the one ormore keywords comprise one or more letters or symbols.
 5. A method asrecited in claim 2, wherein the analysis includes classifying at leastone of the keywords in the text as a specific word type.
 6. A method asrecited in claim 1, wherein the facsimile text does not containconfirmation destination information.
 7. A method as recited in claim 6,wherein the confirmation destination information not contained in thefacsimile text includes names of intended facsimile recipients anddestination data.
 8. A method as recited in claim 1, wherein theanalysis includes comparing one or more keywords in the text to otherelements in the text.
 9. A method as recited in claim 8, wherein theelements include words, symbols, keywords, and graphic elements.
 10. Amethod as recited in claim 1, wherein the analysis includes matching oneor more keywords in the text to data stored in electronic memory.
 11. Amethod as recited in claim 1, wherein the analysis includes determiningthe position of one or more keywords in the text.
 12. A method asrecited in claim 1, wherein the analysis includes classifying the textas a specific document type.
 13. A method as recited in claim 1, whereinthe text is produced by converting the facsimile to a computer-readableformat.
 14. A method as recited in claim 1, wherein the text is producedby converting a source to text in a human language other than a languageof the source.
 15. A method as recited in claim 1, wherein theconfirmation is selected from a group consisting of: an email message,an audible message, a fax, a text message, and a multimedia message. 16.A method as recited in claim 1, wherein the confirmation includes arequest for additional information.
 17. A method as recited in claim 1,wherein the one or more confirmations is routed to a destination otherthan one associated with an intended recipient of the facsimile, whereinthe destination other than one associated with an intended recipient ofthe facsimile comprises one or more of: a litigation department; a salesdepartment; a human resources department; a marketing department; abilling department; a bookkeeping department; a product developmentteam; a purchasing department; an accounting department; and a hiringdepartment.
 18. A method as recited in claim 1 wherein the confirmationis routed to a sender of the facsimile as well as a destination otherthan one associated with a sender of the facsimile.
 19. A method asrecited in claim 1, wherein the confirmation is routed to multipledestinations.
 20. A method as recited in claim 1, wherein the facsimiletext does not contain confirmation destination information, wherein theanalysis includes classifying the text as a specific document type. 21.A method as recited in claim 20, wherein the text is produced byconverting a source to text in a human language other than a language ofthe source.
 22. A method as recited in claim 20, wherein theconfirmation is routed to a sender of the facsimile as well as adestination other than destinations associated with a sender and anintended recipient of the facsimile.
 23. A method for routing aconfirmation of receipt of a facsimile or portion thereof, comprising:determining an intended recipient of a facsimile; sending the facsimileto the intended recipient; analyzing the facsimile for at least one of ameaning and a context of the facsimile; and routing one or moreconfirmations to one or more destinations selected based on theanalysis, wherein the facsimile text does not contain confirmationdestination information about the one or more destinations selectedbased on the analysis, the analysis comprising: digitizing an image ofthe facsimile; segmenting the digitized image into one or more ofphysical areas of significance and logical areas of significance;labeling at least one of: the one or more of the physical areas ofsignificance; and the one or more of the logical areas of significance;matching at least one of the one or more of the physical areas ofsignificance and the one or more of the logical areas of significance toone or more objects described in a knowledge base; wherein the objectsdescribed in the knowledge base comprise at least one of: one or moreexpected structural characteristics of one or more document classes; oneor more relational characteristics of one or more document classes; andone or more expected content characteristics of one or more documentclasses; and dynamically modifying one or more of the expectedstructural characteristics, the expected relational characteristics andthe expected content characteristics in the knowledge base, wherein themodifying improves a decision making capability of the analysis.
 24. Themethod in claim 23, further comprising attempting to initiate a businessprocess based on the analysis; wherein the one or more destinationsrelate to the business process, wherein one of the confirmations is sentupon completion of the business process.
 25. The method in claim 23,further comprising attempting to initiate a business process based onthe analysis; and wherein the one or more destinations relate to thebusiness process, wherein one of the confirmations is sent uponencountering a problem with the business process.
 26. A method asrecited in claim 23, wherein the analysis does not include utilizing anyoptical character recognition (OCR) techniques.
 27. A method as recitedin claim 23, wherein the confirmation is routed to a destination otherthan one associated with an intended recipient of the facsimile, whereina second confirmation is sent to a sender of the facsimile.
 28. A methodas recited in claim 23, wherein the confirmation is routed to adestination other than one associated with a sender of the facsimile,wherein the confirmation is routed to a destination other than oneassociated with an intended recipient of the facsimile.
 29. A method asrecited in claim 23, wherein the labeling comprises: assigning at leastone object label to at least one of: one or more of the physical areasof significance and one or more of the logical areas of significance,the assigning comprising one or more of: matching one or more structuralcharacteristics of the one or more physical areas of significance to oneor more expected structural characteristics of one or more documentclasses; matching one or more structural characteristics of the one ormore logical areas of significance to one or more expected structuralcharacteristics of one or more document classes; matching one or morerelational characteristics of the one or more physical areas ofsignificance to one or more expected relational characteristics of oneor more document classes; matching one or more relationalcharacteristics of the one or more logical areas of significance to oneor more expected relational characteristics of one or more documentclasses; matching one or more content characteristics of the one or morephysical areas of significance to one or more expected contentcharacteristics of one or more document classes; and matching one ormore content characteristics of the one or more logical areas ofsignificance to one or more expected content characteristics of one ormore document classes.
 30. A system for routing a confirmation ofreceipt of a facsimile or portion thereof, comprising: a memory; and aprocessor in communication with the memory, the processor beingconfigured for: analyzing text of a facsimile for determining a contextof the facsimile; and routing one or more confirmations to one or moredestinations selected based on the analysis, wherein routing the one ormore confirmations comprises routing the one or more confirmations toone or more destinations other than a sender of the facsimile forcommunicating information to a human other than the sender of thefacsimile, wherein the analysis does not include utilizing any opticalcharacter recognition (OCR) techniques, and wherein the analysiscomprises using one or more techniques selected from the groupconsisting of: naïve Bayes classification; tf-idf weighting; latentsemantic analysis; support vector machine analysis; k-nearest neighboralgorithmic analysis; and decision tree analysis.
 31. A system asrecited in claim 30, wherein the analysis includes determining one ormore keywords in the text.
 32. A system as recited in claim 31, whereinmore than one keyword is determined by the analysis and said keywordsare not adjacent in the facsimile text.
 33. A system as recited in claim31, wherein the one or more keywords comprise one or more letters orsymbols.
 34. A system as recited in claim 31, wherein the analysisincludes classifying at least one of the keywords in the text as aspecific word type.
 35. A system as recited in claim 30, wherein thefacsimile text does not contain confirmation destination information.36. A system as recited in claim 35, wherein the confirmationdestination information not contained in the facsimile text includes oneor more of names of intended facsimile recipients and destination data.37. A system as recited in claim 30, wherein the analysis includescomparing one or more keywords in the text to other elements in thetext.
 38. A system as recited in claim 37, wherein the elements includewords, symbols, keywords, and graphic elements.
 39. A system as recitedin claim 30, wherein the analysis includes matching one or more keywordsin the text to data stored in the memory.
 40. A system as recited inclaim 30, wherein the analysis includes determining the position of oneor more keywords in the text.
 41. A system as recited in claim 30,wherein the analysis includes classifying the text as a specificdocument type.
 42. A system as recited in claim 30, wherein the text isproduced by converting the facsimile to a computer-readable format. 43.A system as recited in claim 30, wherein the text is produced byconverting a source to text in a human language other than a language ofthe source.
 44. A system as recited in claim 30, wherein theconfirmation is selected from a group consisting of: an email message,an audible message, a fax, a text message, and a multimedia message. 45.A system as recited in claim 30, wherein the confirmation includes arequest for additional information.
 46. A system as recited in claim 30,wherein the confirmation is routed to multiple destinations.
 47. Asystem as recited in claim 30, wherein the confirmation is routed to asender of the facsimile as well as a destination other than oneassociated with a sender of the facsimile.
 48. A method for routing aconfirmation of receipt of a facsimile or portion thereof, comprising:analyzing text of a facsimile for at least one of a meaning and acontext of the text, the analysis comprising: digitizing an image of thefacsimile; segmenting the digitized image into one or more of: physicalareas of significance and logical areas of significance; labeling atleast one of: one or more of the physical areas of significance and oneor more of the logical areas of significance, the labeling comprising:assigning at least one object label to at least one of: one or more ofthe physical areas of significance and one or more of the logical areasof significance, the assigning comprising one or more of: matching oneor more structural characteristics of the one or more physical areas ofsignificance to one or more expected structural characteristics of oneor more document classes; matching one or more structuralcharacteristics of the one or more logical areas of significance to oneor more expected structural characteristics of one or more documentclasses; matching one or more relational characteristics of the one ormore physical areas of significance to one or more expected relationalcharacteristics of one or more document classes; matching one or morerelational characteristics of the one or more logical areas ofsignificance to one or more expected relational characteristics of oneor more document classes; matching one or more content characteristicsof the one or more physical areas of significance to one or moreexpected content characteristics of one or more document classes; andmatching one or more content characteristics of the one or more logicalareas of significance to one or more expected content characteristics ofone or more document classes; and classifying the facsimile using one ormore techniques selected from the group consisting of: naïve Bayesclassification; tf-idf weighting; latent semantic analysis; supportvector machine analysis; artificial neural network analysis; k-nearestneighbor algorithmic analysis; and decision tree analysis; andattempting to initiate a business process based on the analysis; androuting one or more confirmations to one or more destinations based onthe analysis, wherein the one or more confirmations is routed to adestination other than one associated with an intended recipient of thefacsimile, wherein the one or more destinations relate to the businessprocess, wherein the one or more destinations comprises one or more of:a litigation department; a sales department; a human resourcesdepartment; a marketing department; a billing department; a purchasingdepartment; a bookkeeping department; a product development team; anaccounting department; and a hiring department, and wherein the analysisdoes not include any optical character recognition (OCR).